Michael's piece today on the Nikon D800/D800E got me wondering . . .
I wonder if one of the more technically sophisticated forum participants could explain in general terms—I have no background in digital signal processing—what algorithms are used in post-processing software such as Lightroom, Capture One and Capture NX to reduce moiré.
I've done a little websurfing and to the extent that I've understood what I read (probably >not and <well) it seems the two more common techniques are (1) to simply paint over the pattern with an appropriately-colored sample from elsewhere in the image (e.g., an area of the same fabric that doesn't exhibit visible moiré) and (2) to replace the red and blue luminance data with data from the green channel (because there are more green sensels in a Bayer matrix, and therefore they are less likely to collect false detail from repetitive patterns).
Is that how it's done by current software products that offer moiré-reduction tools? Are there other techniques besides the two I've described above? Assuming I've described them correctly, of course.
Chris